-
公开(公告)号：US11379712B2
公开(公告)日：2022-07-05
申请号：US16155036
申请日：2018-10-09
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
IPC: G06N3/063
Abstract: Disclosed is a method, system, and computer readable medium to manage (and possibly replace) cycles in graphs for a computer device. The method includes detecting a compound operation including a first tensor, the compound operation resulting from source code represented in a first graph structure as part of a compilation process from source code to binary executable code. To address a detected cycle, an instance of a proxy class may be created to store a pointer to a proxy instance of the first tensor based on the detection. In some examples, using the instance of the proxy class facilitates implementation of a level of indirection to replace a cyclical portion of the graph structure with an acyclical portion such that the second graph structure indicates assignment of a result of the compound operation to the proxy instance of the first tensor. Optimization may reduce a total number of indirection replacements.
-
公开(公告)号：US11645358B2
公开(公告)日：2023-05-09
申请号：US16260331
申请日：2019-01-29
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Abstract: In an example, a neural network program corresponding to a neural network model is received. The neural network program includes matrices, vectors, and matrix-vector multiplication (MVM) operations. A computation graph corresponding to the neural network model is generated. The computation graph includes a plurality of nodes, each node representing a MVM operation, a matrix, or a vector. Further, a class model corresponding to the neural network model is populated with a data structure pointing to the computation graph. The computation graph is traversed based on the class model. Based on the traversal, the plurality of MVM operations are assigned to MVM units of a neural network accelerator. Each MVM unit can perform a MVM operation. Based on assignment of the plurality of MVM operations, an executable file is generated for execution by the neural network accelerator.
-
公开(公告)号：US11361050B2
公开(公告)日：2022-06-14
申请号：US16196423
申请日：2018-11-20
Applicant: Hewlett Packard Enterprise Development LP
Abstract: Example implementations relate to assigning dependent matrix-vector multiplication (MVM) operations to consecutive crossbars of a dot product engine (DPE). A method can comprise grouping a first MVM operation of a computation graph with a second MVM operation of the computation graph where the first MVM operation is dependent on a result of the second MVM operation, assigning a first crossbar of a DPE to an operand of the first MVM operation, and assigning a second crossbar of the DPE to an operand of the second MVM operation, wherein the first and second crossbars are consecutive.
-
公开(公告)号：US20200242189A1
公开(公告)日：2020-07-30
申请号：US16260331
申请日：2019-01-29
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Abstract: In an example, a neural network program corresponding to a neural network model is received. The neural network program includes matrices, vectors, and matrix-vector multiplication (MVM) operations. A computation graph corresponding to the neural network model is generated. The computation graph includes a plurality of nodes, each node representing a MVM operation, a matrix, or a vector. Further, a class model corresponding to the neural network model is populated with a data structure pointing to the computation graph. The computation graph is traversed based on the class model. Based on the traversal, the plurality of MVM operations are assigned to MVM units of a neural network accelerator. Each MVM unit can perform a MVM operation. Based on assignment of the plurality of MVM operations, an executable file is generated for execution by the neural network accelerator.
-
-
-
Search Results
4
records
(took 0.026 seconds)
